If you have further questions, please get in touch!

Not at all, it is public and avialable data:

When hiQ Labs scraped and sold LinkedIn data a couple of years ago, LinkedIn took strict actions and it launched a legal action against hiQ Labs. After a legal battle, hiQ Labs won the case. The court declared that LinkedIn doesn’t own the data and it belongs to users. So it is fine to scrape the data as long as it is public.

At LinkedIn, users can make their data accessible to others or they can hide it from others. For example, users may decide to show their email address to others. So the data that others can view is “public” and the users don’t care about its privacy in that case. Even if users make their data public, LinkedIn is trying hard to protect it just for their financial gains. They know the value and quality of the data and thus they try extremely hard to protect the data that it hosts.

Now when we talk about the legality of LinkedIn data scraping, it is just like normal web scraping. If LinkedIn doesn’t mind when search engines crawl and index their data, then it should be fine for others too. So it looks fine if someone tries to scrape LinkedIn public data following the the common web scraping practices.

As we discussed above, LinkedIn is trying hard to protect the data. In such a case, you may find a tough challenge from LinkedIn. At Enrich B2B, we heave learned how to bypass LinkedIn challenges. We know how to run thousands of headless browsers and we can get you unrestricted access to LinkedIn data. If you want to avoid the complexities of LinkedIn data scraping or if you can’t handle thousands of residential (and whitelisted) proxies, Enrich B2B API will help you scrape LinkedIn data without facing any legal issues or without facing any technical difficulties.

The lead is validated by first gathering data real-time on the leads profile and then using an algorithm to match the strings together of their job title and company name.

The result is a score of how similar the uploaded data and the gathered data are. The similarity score we look for in a valid lead is above 0.75.

This algorithm is consistently being improved and further information of why a lead is valid/invalid is in the roadmap.

We get all public data for any public profile on LinkedIn. This will include:

  • Job title
  • Company Name
  • Location

Sometimes leads will have their email or twitter handle available for public view.

Daily cap is 432,000 leads of 300 leads per minute running every minute. We are exploring how to scale this further for our larger clients in the future.

The rates to consider when using our services are:

  • 16% of profiles will be private and therefore not able to be verified. But don't worry, we only charge for verified leads.
  • Our internal validation algorithm has a 90% success rate. The only times it fails is if acronyms are used in Company Names and therefore require a manual change. This is why we are building more information into the platform so this is easily available to amend. We have created the rules so that valid leads are 100% valid.

We do have a backup service in case of any problems arising with any part of our tech stack. However we are confident we will retain a 99% uptime.